Programming Training Courses in United States

Introduction to Git and Migration from SVN• Overview of Git vs SVN architecture• Understanding distributed version control concepts• Git installation and environment setup• Mapping SVN workflows to Git workflows• Introduction to Git repositories and working mo...

• Developers transitioning from SVN to Git
• Software Engineers
• QA Engineers
• DevOps Engineers
• Build and Release Engineers
• Full Stack Developers
• Backend Developers
• IT Professionals working in legacy version control environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GIT for Victims of Subversion Training, validating their expertise in Git version control migration, distributed workflows, branching strategies, collaboration practices, CI/CD integration, and modern software development practices.

Prerequisites: • Basic understanding of Subversion (SVN) or version control concepts• Familiarity with software development workflows is beneficial• Basic command-line usage knowledge is helpful• Understanding of software project structures is advantageous

Introduction to GitHub and Repository Management• Overview of GitHub platform and ecosystem• Creating and managing repositories• Understanding Git and GitHub relationship• Repository settings and configuration• Working with README and project documentationBran...

• Software Developers
• Full Stack Developers
• Backend Developers
• Frontend Developers
• DevOps Engineers
• QA Engineers
• Build and Release Engineers
• IT Professionals working in collaborative development environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GitHub Fundamentals Training, validating their expertise in GitHub repository management, collaboration workflows, pull requests, CI/CD basics, issue tracking, DevOps integration, and modern software development practices.

Prerequisites: • Basic understanding of Git version control concepts• Familiarity with software development workflows is beneficial• Knowledge of basic programming concepts is helpful• Understanding of command-line usage is advantageous

Introduction to GitLab and Repository Management• Overview of GitLab platform and DevOps ecosystem• Creating and managing repositories in GitLab• Understanding GitLab project structure• Branching strategies and merge request workflows• Issue tracking and colla...

• DevOps Engineers
• Software Developers
• Backend Developers
• Full Stack Developers
• QA Automation Engineers
• Build and Release Engineers
• Cloud Engineers
• IT Professionals working in CI/CD environments

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GitLab and GitLab CI Training, validating their expertise in GitLab DevOps workflows, CI/CD pipeline automation, repository management, merge request processes, deployment automation, and modern software delivery engineering practices.

Prerequisites: • Basic understanding of Git version control concepts• Familiarity with software development lifecycle is beneficial• Knowledge of basic programming concepts is helpful• Understanding of command-line usage is advantageous

Introduction to Go & Development Setup • What is Go and where it is used • Installing Go and configuring environment • Understanding Go workspace and modules • Writing and running first Go programGo Language Basics • Variables, constants, and data types • Cont...

 • Backend developers and system programmers
 • Cloud and DevOps engineers
 • Software engineers building microservices
 • Developers interested in high-performance applications
 • Professionals transitioning to Go programming

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Go Programming. This digital, verifiable certification validates practical Go development, concurrency, and backend service skills and can be shared on LinkedIn and included in professional profiles to enhance career opportunities.

Prerequisites:  • Basic understanding of programming concepts • Familiarity with any programming language is helpful • Basic knowledge of networking or web concepts is beneficial

Introduction to GPU Computing and CUDA Basics• Overview of GPU architecture and parallel computing• CPU vs GPU performance comparison• CUDA programming model fundamentals• Thread hierarchy: grids, blocks, and threads• Setting up Python GPU development environm...

• Python Developers
• Data Scientists
• AI/ML Engineers
• HPC Engineers
• Software Developers working on performance optimization
• Research Scientists
• Analytics Engineers
• IT Professionals working with GPU-based systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GPU Programming with CUDA & Python Training, validating their expertise in GPU architecture, Python-based CUDA programming, parallel computing, performance optimization, and high-performance AI/HPC application development.

Prerequisites: • Strong understanding of Python programming• Basic knowledge of data structures and algorithms is beneficial• Familiarity with linear algebra concepts is helpful• Understanding of basic computer architecture is advantageous

Introduction to GPU Architecture and CUDA Basics• Overview of GPU computing and CUDA ecosystem• Understanding CPU vs GPU architecture• CUDA programming model fundamentals• Thread hierarchy: threads, blocks, and grids• Setting up CUDA development environmentCUD...

• C++ Developers
• AI and Machine Learning Engineers
• Data Scientists
• HPC (High Performance Computing) Engineers
• Software Developers working on performance optimization
• Research Scientists
• Embedded and Systems Engineers
• IT Professionals interested in GPU acceleration

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in GPU Programming with CUDA Training, validating their expertise in GPU architecture, CUDA kernel development, parallel computing, performance optimization, HPC programming, and GPU-accelerated application engineering practices.

Prerequisites: • Strong understanding of C/C++ programming• Basic knowledge of data structures and algorithms is beneficial• Familiarity with parallel computing concepts is helpful• Understanding of basic computer architecture is advantageous

Introduction to Groovy & Environment Setup • What is Groovy and where it is used • Installing Groovy and development tools • Running Groovy scripts • Groovy vs Java comparisonGroovy Language Basics • Groovy syntax and conventions • Variables and data types • S...